Abstract Human-robot interactions carry several challenges, the most important being risk of injury to human. In industrial robotic systems, robots are mostly caged and isolated from humans in a safety guard environment. However, as time has passed, use domestic emerged, leading high need research on robot settings. Human-Robot collaboration is still an initial stage; thus, assessments environm...

The growing number of musculoskeletal disorders in industry could be addressed by the use of collaborative robots, which allow the joint manipulation of objects by both a robot and a person. However the efficiency of a collaborative robot regarding the reduction of musculoskeletal disorders risks is highly task-dependent. Yet, even when designing dedicated systems, the ergonomic benefit provide...

This paper proposes an interaction learning method for collaborative and assistive robots based on movement primitives. The method allows for both action recognition and human-robot movement coordination. It uses imitation learning to construct a mixture model of human-robot interaction primitives. This probabilistic model allows the assistive trajectory of the robot to be inferred from human o...

Effective communication between teammates is critical to the success of collaboration, including human-robot collaboration. For enabling human robot communication, several modalities are actively being researched — such as, text, speech, visual signals, and legible motion. The design of these modalities is necessary to achieve effective communication; however, it is not sufficient. Communicatio...

While human-robot collaboration has been studied intensively in the literature, little attention has been given to understanding the role of collaborative endeavours on enhancing the companionship between humans and robots. In this position paper, we explore the possibilities of building the human-robot companionship through collaborative activities. The design guideline of a companion robot Na...

This article describes our open-source software for predicting the intention of a user physically interacting with the humanoid robot iCub. Our goal is to allow the robot to infer the intention of the human partner during collaboration, by predicting the future intended trajectory: this capability is critical to design anticipatory behaviors that are crucial in human–robot collaborative scenari...